Helen is an experienced instructor who obtained two Master’s degrees, one in Statistical Science from Indiana University, and another in Education from Purdue University. She specializes in Statistics with experience in Exploratory Data Analysis, Machine Learning, and other statistical methods, such as hypothesis testing. She is proficient in multiple programming languages, including Python, R, SAS, and SQL. As a data scientist, she enjoys working on various analytical projects using statistical and machine learning models.
NYC Data Science Academy’s mission is to provide accelerated data science training programs that prepare people for employment as data science professionals and to offer continuing education courses for professional development.
